Change Request

Q: Why use Change Request on TypingMind?

Because you install it once and use it with any model. Change Request is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

Q: How do I install Change Request in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielvm-git/bigpowers/tree/main/skills/change-request. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Change Request?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

Q: How many AI models can I use with Change Request?

As many as you like. As long as a model supports skills, you can use Change Request with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the Change Request AI skill free?

Yes. It is published on GitHub by danielvm-git under the MIT license. You only pay your own AI provider for the tokens you use.

Q: What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

Q: How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Community

danielvm-git

change-request

Add a new requirement or reorder epics by WSJF against specs/release-plan.yaml and epic capsule directories. Modes Add and Reorder. Use when a new requirement arrives mid-release or the plan needs prioritization.

Overview

Publisher	danielvm-git
Repository	`bigpowers`
Skill name	`change-request`
Stars	206
Forks	18
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by danielvm-git on GitHub. Read the source before you install it.

Installation

Install the Change Request AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/danielvm-git/bigpowers.git /tmp/bigpowers
mkdir -p .claude/skills
cp -r /tmp/bigpowers/skills/change-request .claude/skills/change-request

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Change Request in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Change Request on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Change Request is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

story: e45s29

story: e20s01

Change Request

HARD GATE — specs/release-plan.yaml must exist before running either mode. If it doesn't, run plan-release first.

→ verify: test -f specs/release-plan.yaml

Two modes. State which one you want or the skill will ask.

Mode A — Add

Intake a new requirement mid-flight without disrupting work in progress.

Capture: What is the change? What problem does it solve?
Locate: Which existing stories in specs/epics/ does it affect or replace?
Draft: Add story + tasks[] with Gherkin-style AC in epic YAML (each task has verify). Tag requirement deltas: ADDED / MODIFIED / REMOVED / RENAMED with before/after for non-ADDED changes (e45s29).
Place: Append story under existing epic capsule, or create specs/epics/eNN-slug.yaml and register in release-plan.yaml epics[].
Score: Compute WSJF; note if it outranks in-progress work.

→ verify: grep -c 'stories:' specs/epics/*/epic.yaml

Mode B — Reorder

Value-engineering pass over the full release using WSJF.

See REFERENCE.md for the full WSJF scoring rubric.

Score each epic/story: BV + TC + RR / Job Size.
Re-sort release-plan.yaml epics[] and per-epic wsjf fields.
Flag cut candidates: WSJF < 1.5.
Update specs/release-plan.yaml and epic wsjf keys with rationale.
Report the delta.

→ verify: grep -c 'wsjf' specs/release-plan.yaml specs/epics/*/epic.yaml

Conversational Mode

If the user's request is in natural language and does not match the structured format of Mode A or Mode B, enter Conversational Mode to extract the change parameters through interactive dialogue.

5-Step Flow

Capture: Parse the natural-language request for what, why, and where. Ask at most 3 clarifying questions before drafting.
Locate: Identify which epic or capability in specs/epics/ the request affects or replaces.
Draft: Present a structured draft of the proposed story and tasks for user confirmation.
Score: Estimate the WSJF score and explain the calculation so the user understands the priority.
Place: Confirm the final epic placement with the user before writing files.

After either mode

Run bash scripts/sync-status-from-epics.sh. Suggest plan-work or build-epic for the top-ranked unstarted story.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

REFERENCE.md2 KB

Frequently asked questions

What does the Change Request AI skill do?

Why use Change Request on TypingMind?

Because you install it once and use it with any model. Change Request is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Change Request in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielvm-git/bigpowers/tree/main/skills/change-request. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Change Request?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Change Request?

As many as you like. As long as a model supports skills, you can use Change Request with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Change Request AI skill free?

Yes. It is published on GitHub by danielvm-git under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

story: e45s29

story: e20s01

Change Request

Mode A — Add

Mode B — Reorder

Conversational Mode

5-Step Flow

After either mode

Bundled files

Frequently asked questions

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